This repository contains the CIFAR-100-C dataset from Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. In CIFAR-100-C, the first 10,000 images in each .npy are the test set images corrupted at severity 1, and the last 10,000 images are the test set images corrupted at severity five. labels.npy is the label file for all other image files. If you find this useful in your research, please consider citing: @article{hendrycks2019robustness, title={Benchmarking Neural Network Robustness to Common Corruptions and Perturbations}, author={Hendrycks, Dan and Dietterich, Thomas}, journal={Proceedings of the International Conference on Learning Representations}, year={2019} }